More recently, the OSI has formed a definition of “open source AI,” though not everyone is happy with the outcome. Open source AI proponents argue that not only models should be freely available, but also the datasets, pretrained models, weights — the full shebang. The OSI’s definition doesn’t make training data mandatory, because it says AI models are often trained on proprietary data or data with redistribution restrictions.
Suffice it to say, the OpenEuroLLM is facing these same quandaries, and despite its intentions to be “truly open,” it will probably have to make some compromises if it’s to fulfill its “quality” obligations.